Patients with inflammatory bowel disease (IBD) require long-term pharmacotherapy. Due to the wide variety of clinically available drugs, medication safety has become increasingly concerning. As an indispensable component of pharmaceutical formulations, drug excipients may induce various adverse reactions, including rash, allergic responses, and gastrointestinal discomfort, and may even lead to severe organic injury. However, they are often overlooked in clinical practice. Therefore, identifying and managing excipient-related adverse reactions is crucial for ensuring medication safety. To address this issue, this article systematically reviews common excipients in IBD therapeutics, the underlying mechanisms of excipient-induced adverse reactions, and corresponding management strategies, aiming to enhance clinicians' awareness of excipient-related issues, improve their ability to recognize and manage such reactions, and ultimately ensure patient safety.

Metabolic dysfunction-associated fatty liver disease （MAFLD） is a chronic liver disease closely related to metabolic dysfunction. Its global prevalence is increasing year by year and shows a trend toward younger onset. It is closely associated with cardiovascular and cerebrovascular diseases， chronic kidney disease， and extrahepatic malignant tumors， and has become a major public health problem affecting the health of the Chinese population. At present， the treatment of MAFLD mainly focuses on lifestyle intervention. When metabolic cardiovascular risk factors and liver injury are present， pharmacological intervention is required. However， there is still no specific drug therapy for MAFLD. In recent years， many studies have found that the pathogenesis of MAFLD involves interactions among multiple factors， including insulin resistance， oxidative stress， endoplasmic reticulum stress， programmed cell death， immune dysregulation， inflammasomes， gut microbiota imbalance， and bile acid metabolism. Traditional Chinese medicine （TCM） has advantages in integrated regulation with multiple components and multiple targets， and shows significant efficacy in the treatment of MAFLD. Active components of Chinese medicinal herbs and Chinese medicine compound formulas exert definite therapeutic effects by regulating multiple signaling pathways to improve lipid metabolism disorders， inhibit inflammatory responses， and regulate the gut microbiota， thereby effectively improving clinical symptoms and delaying the occurrence and development of MAFLD. Therefore， strengthening research on the mechanisms of action of TCM in MAFLD is of crucial importance and significance for its treatment. This article summarizes the mechanisms by which Chinese medicine monomers and compound formulas intervene in MAFLD through the regulation of related signaling pathways， based on the retrieval and analysis of relevant literature from multiple databases， with the aim of providing theoretical support and a reference basis for the clinical application of TCM in the treatment of MAFLD.

ObjectiveTo investigate the effect of Yuejuwan on lipid metabolism in serum， prefrontal cortex and hippocampus of depressed mice based on lipidomics， and to explore the potential pathways for improving lipid metabolism to prevent depression. MethodsSeven-week-old C57BL/6 mice were randomly divided into blank group， model group， Yuejuwan group（3.6 g·kg^-1） and fluoxetine group（10 mg·kg^-1）， and chronic unpredictable mild stress（CUMS） was used to establish the depression model. After 3 weeks of modeling， each administration group was gavaged with the corresponding drug solution according to the dose， and mice in the blank and model groups were given an equal volume of deionised water by gavage， one time/d for 2 weeks. After administration， the antidepressant effect of Yuejuwan was evaluated by neurobehavioral indices such as sucrose preference test， open field test， tail suspension test and forced swimming test. An automatic biochemical analyzer was used to measure contents of total cholesterol（TC）， triglyceride（TG）， low-density lipoprotein cholesterol（LDL-C）， high-density lipoprotein cholesterol（HDL-C）， aspartate aminotransferase（AST） and alanine aminotransferase（ALT） in mouse serum. Lipidomic analysis of mouse serum， prefrontal cortex and hippocampus was performed based on ultra-performance liquid chromatography-linear ion trap-electrostatic field orbitrap mass spectrometry（UPLC-LTQ-Orbitrap-MS）， and the expression of mammalian target of rapamycin（mTOR）， ribosomal protein S6 kinase（S6K）， phosphorylation（p）-mTOR， p-S6K in gastric tissues of mice was detected by Western blot. ResultsCompared with the blank group， mice in the model group exhibited significantly reduced sucrose preference rate and center movement time in the open field test（P<0.01）， the immobility times in the tail suspension test and forced swimming test were significantly increased（P<0.01）， and serum levels of TC， TG， LDL-C， HDL-C， AST and ALT were significantly elevated（P<0.05， P<0.01）. Compared with the model group， the Yuejuwan group showed a significant increase in the sucrose preference rate and center movement time in the open field test（P<0.01）， the immobility times in the tail suspension test and forced swimming test were significantly reduced（P<0.01）， and the serum levels of TC， TG， LDL-C， AST and ALT were significantly decreased（P<0.05， P<0.01）. Lipidomic analysis revealed that Yuejuwan had a significant effect on lipid metabolism in serum， prefrontal cortex and hippocampus of depressed mice， and The differential lipid metabolites were mainly enriched in the metabolic pathways of glycerophospholipid metabolism， sphingolipid signaling， and glycosylphosphatidylinositol-anchored protein biosynthesis， among which the glycerophospholipid metabolic pathway was the most significant. Western blot results showed that compared with the blank group， the relative expression levels of p-mTOR/mTOR and p-S6K/S6K in the gastric tissues of mice in the model group were significantly increased（P<0.01）. In comparison with the model group， the relative expression levels of p-mTOR/mTOR and p-S6K/S6K in the gastric tissues of mice in the Yuejuwan group were significantly decreased（P<0.01）. ConclusionThe intervention of Yuejuwan on lipid metabolism is one of the potential pathways for its antidepressant effect， which may be related to the regulation of mTOR/S6K signaling pathway upstream of lipid metabolism in the gastric tissues.

Objective: To investigate the prevalence and influencing factors of menopausal syndrome among postmenopausal women in Pan'an County, Zhejiang Province, so as to provide the basis for guiding the health management of postmenopausal women. Methods: From May 2023 to April 2024, the postmenopausal women aged 40 to 69 years in Pan'an County were selected using the random cluster sampling method. Demographic information, lifestyle and prevalence of gynecological diseases were collected through questionnaire surveys. The prevalence of menopausal syndrome was assessed by modified Kupperman Score Scale. Factors affecting menopausal syndrome were analyzed by a multivariable logistic regression model. Results: A total of 816 postmenopausal women were surveyed, with an mean age of (57.63±2.92) years and a mean natural menopause age of (49.85±2.13) years. There were 574 cases with menopausal syndrome, with a prevalence of 70.34%. Flashes and sweating, insomnia and irritability were common symptoms, accounting for 62.87%, 47.43% and 41.18%, respectively. Multivariable logistic regression analysis showed that monthly personal income of ≤5 000 yuan (<3 000 yuan, OR=3.124, 95%CI: 1.829-5.335; 3 000-5 000 yuan, OR=2.399, 95%CI: 1.370-4.201) and having gynecological diseases (OR=1.970, 95%CI: 1.292-3.004) were associated with a higher risk of menopausal syndrome, while average (OR=0.141, 95%CI: 0.072-0.276) or sufficient sleep quality (OR=0.095, 95%CI: 0.049-0.185) were associated with a lower risk of menopausal syndrome. Conclusion The prevalence of menopausal syndrome among postmenopausal women in Pan'an County is relatively high, and is mainly influenced by personal economic status, sleep quality and the presence of gynecological diseases.

Objective To develop an artificial intelligence (AI)-driven lung cancer database by structuring and standardizing clinical data, enabling advanced data mining for lung cancer research, and providing high-quality data for real-world studies. Methods Building on the extensive clinical data resources of the Department of Thoracic Surgery at Peking Union Medical College Hospital, this study utilized machine learning techniques, particularly natural language processing (NLP), to automatically process unstructured data from electronic medical records, examination reports, and pathology reports, converting them into structured formats. Data governance and automated cleaning methods were employed to ensure data integrity and consistency. Results As of September 2024, the database included comprehensive data from 18 811 patients, encompassing inpatient and outpatient records, examination and pathology reports, physician orders, and follow-up information, creating a well-structured, multi-dimensional dataset with rich variables. The database’s real-time querying and multi-layer filtering functions enabled researchers to efficiently retrieve study data that meet specific criteria, significantly enhancing data processing speed and advancing research progress. In a real-world application exploring the prognosis of non-small cell lung cancer, the database facilitated the rapid analysis of prognostic factors. Research findings indicated that factors such as tumor staging and comorbidities had a significant impact on patient survival rates, further demonstrating the database’s value in clinical big data mining. Conclusion The AI-driven lung cancer database enhances data management and analysis efficiency, providing strong support for large-scale clinical research, retrospective studies, and disease management. With the ongoing integration of large language models and multi-modal data, the database’s precision and analytical capabilities are expected to improve further, providing stronger support for big data mining and real-world research of lung cancer.

Objective:To investigate the association between frailty and prognosis of elderly patients in the emergency department, and to validate frailty screening tools suitable for the emergency department.Methods:This was a prospective cohort study. Clinical data of elderly patients over 60 years old treated in the emergency department of Beijing Bo'Ai Hospital from January to December 2021 were collected. The Frailty Screening Questionnaire (FSQ), FRAIL Scale (FRAIL) and Clinical Frailty Scale (CFS) were used to score patients, and patients were divided into frail or non-frail group according to the criteria of the above three scales. Twelve-month all-cause mortality was the primary endpoint, dependence and re-admission to the emergency department within 12 months were secondary outcomes. Receiver operating characteristic curves were used to evaluate the ability of the FSQ, FRAIL and CFS scores to predict the primary and secondary endpoints, and the areas under the curve (AUC) were calculated and compared. Survival analysis was performed using Cox hazard proportional regression model, and relative risk was expressed as hazard ratio ( HR) and 95% CI. Results:A total of 406 patients were included in the study. The AUCs (95% CI) of FSQ, FRAIL and CFS scores for predicting 12-month all-cause mortality were 0.879 (0.844-0.909), 0.838 (0.798-0.872), 0.906 (0.873-0.933), respectively (all P<0.001). The AUCs of 3 scores for predicting secondary endpoints ranged from 0.820 to 0.889 (all P<0.001). Pairwise comparisons of the AUCs showed that the CFS was superior to one or both of the other frailty screening scales in predicting 12-month all-cause mortality and dependence except for re-admission to emergency room within 12 months after discharge (all P<0.05). Cox regression analysis revealed that, after adjusting for sex, age, body mass index and comorbidities, frailty as defined by the FSQ, FRAIL, and CFS scales was independently associated with 12-month all-cause mortality, with the HRadj of 3.267 (95% CI: 2.406-4.435), 2.465 (95% CI: 1.819-3.341), 3.523 (95% CI: 2.648-4.687), respectively (all P<0.001). Conclusions:FSQ, FRAIL and CFS scores can predict adverse outcomes, the CFS is a practical frailty screening tool in the emergency department, and frailty screening can improve the risk stratification of older patients.

Objective:To develop and validate a prediction model by combining clinical data and biomarkers to evaluate the probability of frailty among older emergency patients.Methods:A cross-sectional study was conducted. From January 2021 to December 2021, patients aged 60 years and older admitted to the emergency department of China Rehabilitation Research Center were enrolled. Data of patient's clinical information were collected. The patients were divided into frail group and non-frail group according to the Fried's frailty phenotype and clinical data were compared between the two groups. LASSO regression was used to deal with dimension reduction and multivariate logistic regression was employed to construct a prediction model based on variables selected by the LASSO regression. Nomogram was used to visualize the prediction model. The area under the receiver operating characteristic curve, calibration curve, decision curve analysis and bootstrap were used to evaluate the discrimination, calibration, clinical applicability, and internal validity of the model respectively.Results:A total of 348 patients were enrolled, and the incidence of frailty was 53.74% (187/348). Education, coronary heart disease, chronic obstructive pulmonary disease, albumin, fibrinogen, N-terminal pro-brain natriuretic peptide, decreased creatinine, and underweight were independent predictors for frailty in older emergency patients ( P < 0.05). A nomogram model was built based on the above predictors and the model showed good discrimination, calibration and clinical applicability. Conclusions:The study utilized objective clinical data and biomarkers to establish a predictive model for the occurrence of frailty in elderly emergency department patients. This model aids in risk stratification and targeted intervention for elderly emergency patients, thereby improving patient outcomes.

Gentianopsis barbata (G. barbata) represents a significant plant species with considerable ornamental and medicinal value in China. This investigation sought to elucidate the primary constituents within the plant and investigate their pharmacological properties. Fifty triterpenoids (1-50), including nine previously undescribed compounds (1, 2, 7, 10, 20, 28, 29, 37, and 41) were isolated and characterized from the whole plants of G. barbata. Notably, compounds 1 and 2 exhibited the novel 3,4;9,10-diseco-24-homo-cycloartane triterpenoid skeleton. The isolated triterpenoids demonstrated substantial anti-inflammatory activity through inhibition of tumor necrosis factor α (TNF-α) and interleukin-6 (IL-6) cytokine secretion in LPS-induced RAW264.7 macrophages, and hepatoprotective effects by preventing tert-butyl hydroperoxide (t-BHP)-induced oxidative injury in HepG2 cells. These results demonstrate both the presence of diverse triterpenoids in G. barbata and their therapeutic potential for inflammatory and hepatic conditions, providing scientific evidence supporting the clinical application of this traditional Mongolian medicinal plant.
Triterpenes/isolation & purification* ; Mice ; Anti-Inflammatory Agents/isolation & purification* ; Animals ; Humans ; RAW 264.7 Cells ; Hep G2 Cells ; Interleukin-6/genetics* ; Tumor Necrosis Factor-alpha/genetics* ; Medicine, Mongolian Traditional ; Macrophages/immunology* ; Protective Agents/isolation & purification* ; Liver/drug effects* ; Gentianaceae/chemistry* ; Plant Extracts/chemistry* ; Molecular Structure

Objective:To develop a simple and effective subretinal injection pipeline system to enhance the accuracy and precision of subretinal injection volume control.Methods:A retrospective case series study. From May to October 2023, 18 patients (18 eyes) with submacular hemorrhage (SMH) who continuously received modified subretinal injection treatment in Department of Ophthalmology of Peking Union Medical College Hospital were included in the study. Among them, there were 10 males and 8 females. The mean age was (60.00±7.41) years. The primary causes included polypoid choroidal vasculopathy (14 cases), retinal macroaneurysm (2 cases), traumatic retinopathy (1 case), and Valsalva retinopathy (1 case). Hemorrhage affected 14 eyes of the fovea centralis. All affected eyes underwent standard three-channel 25G vitrectomy via the flat part of the ciliary body combined with modified subretinal injection of recombinant tissue plasminogen activator. The improved injection system consisted of a 1 ml syringe, a Q-Syte TM connector, a 41G subretinal microinjection needle, a converter and a viscoelastic substance control pipeline. The drug preparation time for subretinal injection (i.e., the time consumed by the system connection step), the injection time, whether bubbles occur during the injection process, and the perioperative complications were recorded and analyzed. Results:The preparation time prior to drug injection ranged from 230 to 335 seconds, while the injection completion time varied between 43 and 75 seconds. Both times decreased progressively as operator proficiency improved. Among the treated eyes, five received a target injection dose of 0.05 ml and thirteen received 0.10 ml, with all eyes achieving the preset dose accurately. No subretinal bubbles were observed during the injection procedure. Additionally, no intraoperative complications such as retinal hemorrhage or tear secondary to mechanical trauma at the injection site were recorded. Postoperatively, one eye developed anterior chamber hemorrhage, which resolved following intraocular pressure-lowering treatment. No other postoperative complications, including hemorrhage, rhegmatogenous retinal detachment, or infection, were observed in the remaining eyes.Conclusion:The retinal drug injection system developed in this study has a simple structure, safe and stable operation, can achieve precise drug injection, and effectively avoid the formation of bubbles.

Objective:To investigate the correlationship between an artificial intelligence-based e-Boston bowel preparation scale (e-BBPS) system score and the adenoma miss rate.Methods:Colonoscopy images of 4 373 patients at the Endoscopy Center of Renmin Hospital of Wuhan University from December 21, 2017 to December 31, 2019 were collected for model training. Patients who underwent colonoscopy at the Eighth Affiliated Hospital of Sun Yat-sen University from October 8, 2021 to November 9, 2022 were prospectively included. Patient's bowel preparation was evaluated by the e-BBPS system and endoscopists based on BBPS score. If both the endoscopists and e-BPPS system believed that the bowel preparation was sufficient, the patient immediately proceeded to a second colonoscopy. Otherwise, the patient underwent bowel preparation again. The differences in adenoma and polyp miss rate between the qualified group (e-BBPS system score ≤3) and the unqualified group (e-BBPS system score >3) were compared.Results:The adenoma miss rate in the qualified group was significantly lower than that in the unqualified group [26.72% (62/232) VS 42.53% (37/87), χ2=7.384， P=0.007, OR=2.029 (95% CI: 1.212-3.396)], and the polyp miss rate in the qualified group was significantly lower than that in the unqualified group [27.28% (195/702) VS 41.24% (113/274), χ2=16.539， P<0.001, OR=1.825 (95% CI: 1.363-2.443)]. Conclusion:The deep learning-based e-BBPS system demonstrates accuracy and reliability in bowel preparation assessment, offering potential to standardize the process of evaluating bowel preparation and reduce missed lesions.